职业医学中的人工智能:15种大型语言模型与意大利语多项选择题的比较。

Q3 Medicine

Recenti progressi in medicina Pub Date : 2025-10-01 DOI:10.1701/4573.45789

Martina Padovan, Alessandro Palla

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引用次数: 0

摘要

本研究使用397道意大利职业医学多项选择题对15个生成式人工智能模型进行了比较评估。模型精度范围为75.06% ~ 95.72%。结果强调需要评估专业领域的大型语言模型，以支持其安全有效地融入医学教育和职业医学实践。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Intelligenza artificiale generativa in medicina del lavoro: quindici large language models a confronto su quesiti a scelta multipla in lingua italiana.

This study offers a comparative evaluation of fifteen generative artificial intelligence models using 397 Italian multiple-choice questions on occupational medicine. Model accuracy ranged from 75.06% to 95.72%. The results highlight the need to assess large language models in specialized fields to support their safe and effective integration into medical education and occupational medicine practice.

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来源期刊

Recenti progressi in medicina Medicine-Medicine (all)

CiteScore

0.90

自引率

0.00%

发文量

143

期刊介绍： Giunta ormai al sessantesimo anno, Recenti Progressi in Medicina continua a costituire un sicuro punto di riferimento ed uno strumento di lavoro fondamentale per l"ampliamento dell"orizzonte culturale del medico italiano. Recenti Progressi in Medicina è una rivista di medicina interna. Ciò significa il recupero di un"ottica globale e integrata, idonea ad evitare sia i particolarismi della informazione specialistica sia la frammentazione di quella generalista.